inngest-agents
Use when building durable AI agents or agentic workflows with Inngest and AgentKit, including model calls, tool calls, multi-agent networks, human approval, realtime progress, provider rate limits, and crash-safe execution. Covers AgentKit, `step.ai`, `step.run`, `step.waitForEvent`, native realtime, and when to use lower-level Inngest primitives instead of an in-memory agent loop.
Install
With your agent
Install OMGSkills skill "inngest/inngest-claude-code-plugin:skills/inngest-agents" into this agent's normal skills directory: use the OMGSkills MCP get_skill tool, install only the pinned_install commit and path, verify SKILL.md against pinned_install.skill_md_sha, and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/inngest/inngest-claude-code-plugin /tmp/inngest-claude-code-plugin && ln -s /tmp/inngest-claude-code-plugin/skills/inngest-agents ~/.claude/skills/inngest-agentsFrom README
Inngest Agents Use this skill when the user wants to build, migrate, or debug an AI agent, multi-step AI workflow, tool-calling loop, support agent, research agent, human-in-the-loop review flow, or realtime agent UI. Inngest's AgentKit defines agents with createAgent; when an AgentKit run is owned by an Inngest function, model calls use Inngest step.ai so they retry and cache model results durably. Use the lower-level Inngest step primitives around the agent for database reads/writes, tool side effects, waits, approvals, realtime progress, and flow control.
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